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Field
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The SPARC group in SnT is pursuing research on signal processing applications in radar and
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The project: The focus of this project is on the novel and exciting concept of multi-rotor wind turbines; a new design paradigm for wind energy, that is attracting an increasing amount of attention
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decision processes. Use the CARLA simulation platform to generate DCD-style data in high-risk or ambiguous driving scenarios. Build a proof-of-concept verification pipeline that maps DCD outputs
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology, which may also then be used
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation
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insights. All training is in English. THE RESEARCH | The mission of our IMPRS is to study fundamental biological processes in plants and to create knowledge and material that can empower innovative plant
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Atmospheric rivers are narrow bands of strong vertically integrated water vapour transport (IVT), conjuring the image of a river in the sky. This phenomenon has been studied extensively in relation